ZipRecruiter

Log In

2

Remote Data Scientist Machine Learning Jobs in Utah

Veteran Jobs - 2023 Mar 01 - Veterans Resources

... LIFE SCIENCES MACHINE LEARNING/NLP/AI MANAGEMENT MARKETING MATHEMATICS MEDICAL ADMINISTRATION< MUSIC NURSING NUTRITION PARALEGAL PHARMACY/PHARMACOLOGY PHILOSOPHY PHYSICAL SCIENCE PHYSICS POLITICAL ...

Veteran Jobs - 2023 Mar 01 - Veterans Resources

... LIFE SCIENCES MACHINE LEARNING/NLP/AI MANAGEMENT MARKETING MATHEMATICS MEDICAL ADMINISTRATION< MUSIC NURSING NUTRITION PARALEGAL PHARMACY/PHARMACOLOGY PHILOSOPHY PHYSICAL SCIENCE PHYSICS POLITICAL ...

Veteran Jobs - 2023 Mar 01 - Veterans Resources

... LIFE SCIENCES MACHINE LEARNING/NLP/AI MANAGEMENT MARKETING MATHEMATICS MEDICAL ADMINISTRATION< MUSIC NURSING NUTRITION PARALEGAL PHARMACY/PHARMACOLOGY PHILOSOPHY PHYSICAL SCIENCE PHYSICS POLITICAL ...

Eliassen Group

Senior AI/ML Engineer

Salt Lake City, UT · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning ... Experience Requirements: * 10+ years in Software or IT with 7+ years in data analysis, AI ...

Cliftonlarsonallen

Data Analyst Senior

Salt Lake City, UT · On-site +1

$83K - $105K/yr

Develop predictive analytics, machine learning, and artificial intelligence techniques. Use ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. #LI ...

iCapital

Data Analytics - Associate

Salt Lake City, UT · On-site +1

$70K - $100K/yr

Familiar with data science techniques and machine learning models * Prior experience with end-to-end project delivery (i.e. requirements gathering, scoping, working within large organizations, and ...

Varsity Tutors

Python Tutor

Provo, UT · Remote

$40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... data science, software development, or academic computing work. * Effective Teaching Methods:

next page

Showing results 1-20

All JobsRemote Data Scientist Machine Learning JobsRemote Data Scientist Machine Learning Jobs in Utah

Remote Data Scientist Machine Learning information

What does a Remote Data Scientist specializing in Machine Learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Machine Learning, and why are they important?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Utah? The most popular types of Data Scientist Machine Learning jobs in Utah are:
What are popular job titles related to Remote Data Scientist Machine Learning jobs in Utah? For Remote Data Scientist Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Machine Learning jobs in Utah look for? The top searched job categories for Remote Data Scientist Machine Learning jobs in Utah are:
What cities in Utah are hiring for Remote Data Scientist Machine Learning jobs? Cities in Utah with the most Remote Data Scientist Machine Learning job openings:
Remote Data Scientist Machine Learning jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Orem, UT • Remote

Other

Posted 26 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply